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| Certification Vendor: | HPE |
|---|---|
| Exam Name: | Advanced HPE Storage Integrator Solutions Written Exam |
| Exam Number: | HPE7-J02 |
| Exam Format: | Multiple Choice, Matching, Drag-and-Drop, Scenario-Based |
| Exam Duration: | 90 minutes |
| Related Certifications: | HPE Master ASE - Storage Architect HPE Solution Certified - Storage |
| Exam Price: | $150 - $200 USD |
| Available Languages: | English |
| Passing Score: | 65% or 700/1000 |
| Real Exam Qty: | 50-60 |
| Certificate Validity Period: | 3 years |
| Recommended Training: | HPE Master ASE Storage Architect Official Study Guide Advanced HPE Storage Solutions (Rev 25.11) |
| Exam Registration: | HPE Certification Portal Pearson VUE Registration |
| Sample Questions: | HP HPE7-J02 Sample Questions |
| Exam Way: | Proctored online or onsite at authorized test centers |
| Pre Condition: | Recommended: HPE ATP - Storage Solutions certification or equivalent experience; 3+ years designing and implementing enterprise storage solutions |
| Official Syllabus URL: | https://www.hpe.com/us/en/certification/exams/hpe7-j02.html |
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NEW QUESTION # 43
While attempting to increase an upstream volume size for an Alletra 6000 Peer Persistence setup from local web management, you are facing an error that prevents you from completing the task.
Which action is required to complete the task successfully?
Answer: A
Explanation:
In Alletra 6000 Peer Persistence environments, operations like resizing Peer Persistence volumes must be performed via the HPE Data Services Cloud Console (DSCC), which manages volume collections and replication consistency groups. Attempting to grow the upstream volume locally will fail because the changes need to propagate across both sites consistently.
NEW QUESTION # 44
The storage solution based on the exhibit is deployed at a customer site.
How can the sequential read performance be enhanced with this setup?
Answer: C
Explanation:
The exhibit shows an Alletra MP configuration delivering ~4.6 GB/s (256 KB sequential read) with four 10 Gb host ports. That throughput is close to the aggregate front-end bandwidth ceiling of
4?0 GbE (5 GB/s raw, less with protocol overhead). For large-block sequential workloads, the front-end link budget is often the bottleneck; adding additional 10 GbE ports (or moving to higher- speed links) increases available host bandwidth and raises sustained sequential read throughput.
This aligns with HPE sizing guidance: scale host connectivity to meet sequential throughput targets before adding media.
NEW QUESTION # 45
Which statement is true regarding HPE's SAP HANA solutions?
Answer: D
NEW QUESTION # 46
You need to evaluate a customer's virtual server environment to size an HCI solution based on HPE SimpliVity according to usage metrics over time. The environment consists of Dell servers and storage running VMware virtualization.
Which action can you use to gather the usage metrics of this setup?
Answer: B
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
For competitive or 3rd-party (non-HPE) environments like Dell + VMware, HPE CloudPhysics is the correct tool. The Observer VM is deployed into vCenter to gather real-world workload metrics (CPU, memory, storage I/O). These analytics can then be used for SimpliVity HCI sizing.
Distractors:
A: NinjaOnline SimpliVity Sizer requires input metrics, but it cannot directly collect from 3rd-party environments.
B: InfoSight sizing applies to HPE arrays, not competitive storage.
D: InfoSight for SimpliVity only monitors existing HPE SimpliVity clusters.
Key Concept: CloudPhysics Observer # gathers competitive workload metrics # feeds into SimpliVity sizing.
Reference: HPE CloudPhysics for HCI Sizing.
NEW QUESTION # 47
A pool of Microsoft SQL servers started to use the Alletra 6000 family array six months ago. The data growth has been higher than expected, and the performance of the databases is facing some latency issues.
Which method would allow both capacity and performance to grow when expanding the array, while keeping the management simple?
Answer: C
Explanation:
Detailed Explanation:
Rationale for Correct Answer:
HPE Alletra 6000 is a scale-out architecture array. Adding more arrays to a single scale-out group increases both performance (IOPS, throughput) and capacity, while maintaining single-pane management via HPE Data Services Cloud Console. This is the most efficient way to address both capacity growth and latency reduction for SQL workloads.
Distractors:
B: Adding NICs may help with throughput but not backend latency or capacity scaling.
C: Flash-to-cache ratios can optimize read caching but don't fundamentally increase system-wide performance.
D: Timeless storage is a procurement/licensing option, not a performance/capacity scaling method.
Key Concept: Alletra 6000 scale-out clustering for balanced growth of capacity and performance.
Reference: HPE Alletra 6000 Technical Architecture Guide.
NEW QUESTION # 48
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